Please use this identifier to cite or link to this item: http://rportal.lib.ntnu.edu.tw:80/handle/77345300/36885
Title: A Systematic Approach for Design of Multistage Fuzzy Control Systems
Authors: 國立臺灣師範大學機電工程學系
Yeh, Zong-Mu
Li, Kuei-Hsiang
Issue Date: 16-Apr-2004
Publisher: Elsevier
Abstract: This paper proposes a systematic approach for designing a multistage fuzzy logic controller (MFLC) for large scale nonlinear systems. In designing such a controller, the major tasks are to derive fuzzy rule bases, determine membership functions of input/output variables, and design input/output scaling factors. In this work, the fuzzy rule bases are generated by rule-generated functions which are based on the negative gradient of a system performance index. The membership functions of isosceles triangle of input/output variables are fixed in the same cardinality, and only the input/output scaling factors are optimized from a genetic algorithm based on a fitness function. As a result, the search space of the parameters is narrowed down to a small space so that the MFLC can be quickly constructed and the fuzzy rules and scaling factors can easily be determined. The performance of the proposed approach is examined by computer simulations on an inverted pendulum system. The performance of single stage structure, binary tree structure and skew-binary tree structure are compared. The binary tree structure has better performance and use fewer fuzzy rules in the illustrative example.
URI: http://rportal.lib.ntnu.edu.tw/handle/77345300/36885
ISSN: 0165-0114
Other Identifiers: ntnulib_tp_E0402_01_011
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